Bai, J.; Mao, Z., and Pu, T., 2018. Structure and parameter identification of ship's multi-motion state model. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 892–896. Coconut Creek (Florida), ISSN 0749-0208.

At present, the problem of poor accuracy of parameter identification exists in the method of ship's multi-motion model structure and parameter identification based on operational modal analysis. Therefore, this paper presents a structure and parameter identification method of ship's multi-motion model based on extended Calman filter. In this method, the ship motion equation is established in the fixed coordinate system, and to convert to the computation of motion variables, to obtain the ship motion state model, and realize the identification of ship motion state parameters by using the augmented state equation and extended Calman filter. The experimental results show that the Zig-zag experiment value of the ship heading of the proposed method agrees well with the measured value, and the predicted turning circle is very close to and the actual turning circle.